Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-02-07 10:36:17	ga_s2bm_ard_3-2-1_53HPD_2019-02-07_final
2019-02-07 10:36:21	ga_s2bm_ard_3-2-1_53HND_2019-02-07_final
2019-02-07 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2019-02-07_final
2019-02-07 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2019-02-07_final
2019-02-07 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2019-02-07_final
2019-02-07 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2019-02-07_final
2019-02-07 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2019-02-07_final
2019-02-08 10:06:10	ga_s2bm_ard_3-2-1_54HXJ_2019-02-08_final
2019-02-08 10:06:14	ga_s2bm_ard_3-2-1_54HWJ_2019-02-08_final
2019-02-08 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2019-02-08_final
2019-02-08 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2019-02-08_final
2019-02-08 10:06:25	ga_s2bm_ard_3-2-1_54HXH_2019-02-08_final
2019-02-08 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2019-02-08_final
2019-02-08 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2019-02-08_final
2019-02-08 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2019-02-08_final
2019-02-08 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-02-08_final
2019-02-08 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-02-08_final
2019-02-08 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-02-08_final
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final
2019-02-08 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-08_final
2019-02-09 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-02-09_final
2019-02-09 09:35:53	ga_s2bm_ard_3-2-1_56HLJ_2019-02-09_final
2019-02-09 09:36:08	ga_s2bm_ard_3-2-1_56HLH_2019-02-09_final
2019-02-09 09:36:11	ga_s2bm_ard_3-2-1_56HKH_2019-02-09_final
2019-02-09 09:36:13	ga_s2bm_ard_3-2-1_55HGC_2019-02-09_final
2019-02-09 09:36:17	ga_s2bm_ard_3-2-1_55HFC_2019-02-09_final
2019-02-20 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2019-02-20_final
2019-02-20 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2019-02-20_final
2019-02-20 10:46:31	ga_s2bm_ard_3-2-1_53HMC_2019-02-20_final
2019-03-02 10:46:19	ga_s2bm_ard_3-2-1_53HMD_2019-03-02_final
2019-03-02 10:46:22	ga_s2bm_ard_3-2-1_53HLD_2019-03-02_final
2019-03-02 10:46:29	ga_s2bm_ard_3-2-1_53HMC_2019-03-02_final
2019-03-03 10:16:07	ga_s2bm_ard_3-2-1_54HWJ_2019-03-03_final
2019-03-03 10:16:11	ga_s2bm_ard_3-2-1_54HVJ_2019-03-03_final
2019-03-06 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2019-03-06_final
2019-03-06 10:26:24	ga_s2bm_ard_3-2-1_54HUH_2019-03-06_final
2019-03-06 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2019-03-06_final
2019-03-06 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2019-03-06_final
2019-03-06 10:26:33	ga_s2bm_ard_3-2-1_53HPC_2019-03-06_final
2019-03-06 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2019-03-06_final
2020-05-27 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2020-05-27_final
2020-05-27 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2020-05-27_final
2020-05-27 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2020-05-27_final
2020-05-27 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2020-05-27_final
2020-05-27 11:26:48	ga_s2bm_ard_3-2-1_51HXC_2020-05-27_final
2020-05-27 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2020-05-27_final
2020-06-02 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-06-02_final
2020-06-02 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2020-06-02_final
2020-06-02 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-06-02_final
2020-06-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-06-02_final
2020-06-02 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2020-06-02_final
2020-06-02 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2020-06-02_final
2020-06-02 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2020-06-02_final
2020-06-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-06-02_final
2020-06-03 09:35:50	ga_s2bm_ard_3-2-1_56HMJ_2020-06-03_final
2020-06-03 09:35:55	ga_s2bm_ard_3-2-1_56HLJ_2020-06-03_final
2020-06-03 09:36:09	ga_s2bm_ard_3-2-1_56HLH_2020-06-03_final
2020-06-03 09:36:13	ga_s2bm_ard_3-2-1_56HKH_2020-06-03_final
2020-06-03 09:36:15	ga_s2bm_ard_3-2-1_55HGC_2020-06-03_final
2020-06-03 09:36:18	ga_s2bm_ard_3-2-1_55HFC_2020-06-03_final
2020-06-04 10:46:22	ga_s2bm_ard_3-2-1_53HMD_2020-06-04_final
2020-06-04 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2020-06-04_final
2020-06-04 10:46:33	ga_s2bm_ard_3-2-1_53HMC_2020-06-04_final
2020-06-10 09:25:56	ga_s2bm_ard_3-2-1_56HMJ_2020-06-09_final
2020-06-10 09:26:03	ga_s2bm_ard_3-2-1_56HMJ_2020-06-09_final
2020-06-10 09:26:05	ga_s2bm_ard_3-2-1_56HLJ_2020-06-09_final
2020-06-10 09:26:14	ga_s2bm_ard_3-2-1_56HLH_2020-06-09_final
2020-07-01 10:36:19	ga_s2bm_ard_3-2-1_53HPD_2020-07-01_final
2020-07-01 10:36:23	ga_s2bm_ard_3-2-1_53HND_2020-07-01_final
2020-07-01 10:36:27	ga_s2bm_ard_3-2-1_53HMD_2020-07-01_final
2020-07-01 10:36:31	ga_s2bm_ard_3-2-1_53HLD_2020-07-01_final
2020-07-01 10:36:34	ga_s2bm_ard_3-2-1_53HPC_2020-07-01_final
2020-07-01 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2020-07-01_final
2020-07-01 10:36:41	ga_s2bm_ard_3-2-1_53HMC_2020-07-01_final
2020-07-02 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-07-02_final
2020-07-02 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-07-02_final
2020-07-06 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2020-07-06_final
2020-07-06 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2020-07-06_final
2020-07-06 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2020-07-06_final
2020-07-06 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2020-07-06_final
2020-07-06 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2020-07-06_final
2020-07-06 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2020-07-06_final
2020-07-06 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2020-07-06_final
2020-07-06 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-07-06_final
2020-07-09 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-07-09_final
2020-07-09 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-07-09_final
2020-07-09 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-07-09_final
2020-07-09 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-07-09_final
2020-07-09 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-07-09_final
2020-07-10 09:25:56	ga_s2bm_ard_3-2-1_56HMJ_2020-07-09_final
2020-07-10 09:25:59	ga_s2bm_ard_3-2-1_56HLJ_2020-07-09_final
2020-07-10 09:26:06	ga_s2bm_ard_3-2-1_56HLJ_2020-07-09_final
2020-07-10 09:26:07	ga_s2bm_ard_3-2-1_56HLH_2020-07-09_final
2020-07-10 09:26:14	ga_s2bm_ard_3-2-1_56HLH_2020-07-09_final
2020-07-12 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-12_final
2020-07-12 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-07-12_final
2020-07-19 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2020-07-19_final
2020-07-19 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-07-19_final
2020-07-19 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-07-19_final
2020-07-19 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2020-07-19_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years